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Using Response Propensity Models to Improve the Quality of Response Data in Longitudinal Studies Cover

Using Response Propensity Models to Improve the Quality of Response Data in Longitudinal Studies

Journal of Official Statistics
Volume 33 (2017): Issue 3 (September 2017)
By: Ian Plewis and  Natalie Shlomo  
Open Access
|Sep 2017

Authors

Ian Plewis

ian.plewis@manchester.ac.uk

Social Statistics, School of Social Sciences, University of Manchester, Manchester, United Kingdom of Great Britain and Northern Ireland

Natalie Shlomo

natalie.shlomo@manchester.ac.uk

Social Statistics, School of Social Sciences, University of Manchester, Manchester, United Kingdom of Great Britain and Northern Ireland
DOI: https://doi.org/10.1515/jos-2017-0035 | Journal eISSN: 2001-7367
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Language: English
Page range: 753 - 779
Submitted on: Mar 1, 2016
|
Accepted on: Jun 1, 2017
|
Published on: Sep 9, 2017
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Representativity indicators,
ROC curves,
nonresponse,
Millennium Cohort Study
Related subjects:
Mathematics,
Probability and statistics

© 2017 Ian Plewis, Natalie Shlomo, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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